AI Cyber Engineer

About this role

Title: AI Cybersecurity Engineer


Location: Remote (U.S.)


Type: 6‑month Contract-to-Hire


Overview


We are supporting a large enterprise organization building a new AI Security program. They are seeking an AI Cybersecurity Engineer who can design and implement security controls around AI/ML environments, secure model pipelines, and protect against emerging AI-specific threats. This role offers high visibility with senior leadership and the opportunity to help shape a greenfield AI security practice.


Top Skills

• 5+ years of Cloud Engineering (Azure required)
• Cybersecurity assessment experience focused on AI security controls — ideally with Microsoft technologies
• Strong communication skills — ability to interact with C‑level leaders

Responsibilities

• Design and implement security controls for AI/ML pipelines (training, evaluation, deployment, inference).
• Build and maintain secure reference architectures for GenAI and ML solutions.
• Implement cloud security best practices: least privilege, segmentation, secrets management, encryption, and baseline hardening.
• Identify and mitigate AI-specific threats, including:

• Prompt injection (direct & indirect)
• Data poisoning
• Model inversion/extraction
• Membership inference
• Sensitive data leakage in prompts, outputs, logs, embeddings

• Define and enforce technical and policy guardrails for AI workloads.
• Ensure secure handling of prompts, conversation memory, completions, and embeddings.
• Configure, implement, and troubleshoot cybersecurity tools and infrastructure.
• Monitor and tune cyber tools; respond to security events and incidents.
• Assist with capacity planning, documentation, SOP creation, and cyber practice exercises.
• Support security across mixed environments (Microsoft, IBM, Linux, proprietary OS, industrial systems).
• Collaborate with cloud, app sec, and architecture teams to secure AI deployments.

Environment & Tools

• Cloud: Primarily Azure,...